Examining the Influence of Teaching Presence and Task-Technology Fit on Continuance Intention to Use MOOCs

被引:0
|
作者
Rang Kim
Hae-Deok Song
机构
[1] Chung-Ang University,Center for Teaching and Learning
[2] Chung-Ang University,Department of Education
来源
关键词
MOOCs; Teaching presence; Task-technology fit; Technology acceptance model;
D O I
暂无
中图分类号
学科分类号
摘要
This study aimed to examine the structural relationships among factors that affect learners’ continuance intention to use Massive Open Online Courses (MOOCs). Drawing upon the Technology Acceptance Model (TAM), it posited teaching presence and task-technology fit as exogenous variables, examining how they affect continuance intention to use MOOCs, mediated by perceived usefulness and perceived ease of use. Based on survey data from 252 Korean MOOC learners, structural equation modeling was employed to assess the model. The results indicated that perceived usefulness affected continuance intention to use, while perceived ease of use did not; however, perceived ease of use did affect perceived usefulness. Further, teaching presence was not significantly related to continuance intention to use or perceived usefulness, but did affect perceived ease of use. However, task-technology fit affected perceived usefulness, perceived ease of use, and continuance intention to use. Finally, the mediating role of perceived usefulness and perceived ease of use on the relationships between teaching presence as well as task-technology fit and continuance intention were confirmed. Implications were suggested for designing courses in MOOCs to increase continuance intention to use.
引用
收藏
页码:395 / 408
页数:13
相关论文
共 50 条
  • [31] Forecasting task-technology fit: The influence of individuals, systems and procedures on forecast performance
    Smith, Carlo D.
    Mentzer, John T.
    [J]. INTERNATIONAL JOURNAL OF FORECASTING, 2010, 26 (01) : 144 - 161
  • [32] Continuance Intention to use MOOCs: The Effects of Psychological Stimuli and Emotions
    Shang, Shanshan
    Lyv, Wenfei
    [J]. ASIA-PACIFIC EDUCATION RESEARCHER, 2024, 33 (01): : 27 - 45
  • [33] TASK-TECHNOLOGY FIT PERSPECTIVE OF THE USE OF M-COMMERCE BY RETAIL BUSINESSES
    Justino, Mateus Vicente
    Tengeh, Robertson K.
    Twum-Darko, Michael
    [J]. ENTREPRENEURSHIP AND SUSTAINABILITY ISSUES, 2022, 9 (04): : 320 - 335
  • [34] Extending the technology acceptance model with task-technology fit constructs
    Dishaw, MT
    Strong, DM
    [J]. INFORMATION & MANAGEMENT, 1999, 36 (01) : 9 - 21
  • [35] The role of task-technology fit as users' motivation to continue information system use
    Larsen, Tor J.
    Sorebo, Anne M.
    Sorebo, Oystein
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2009, 25 (03) : 778 - 784
  • [36] Task-technology fit for mobile locatable information systems
    Junglas, Iris
    Abraham, Chon
    Watson, Richard T.
    [J]. DECISION SUPPORT SYSTEMS, 2008, 45 (04) : 1046 - 1057
  • [37] TASK-TECHNOLOGY FIT IN THE ADOPTION OF LINEAR SCHEDULING METHOD
    Yang, Juneseok
    Arditi, David
    [J]. PROCEEDINGS OF INTERNATIONAL STRUCTURAL ENGINEERING AND CONSTRUCTION: INTERACTION BETWEEN THEORY AND PRACTICE IN CIVIL ENGINEERING AND CONSTRUCTION, 2016, : 443 - 448
  • [38] Task-technology fit and user acceptance of online auction
    Chang, Hsin Hsin
    [J]. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2010, 68 (1-2) : 69 - 89
  • [39] Massive Open Online Course (MOOCs) Acceptance: The Role of Task-Technology Fit (TTF) for Higher Education Sustainability
    Alyoussef, Ibrahim Youssef
    [J]. SUSTAINABILITY, 2021, 13 (13)
  • [40] Examining the Effect of the Task-Technology Fit of Game Mechanisms on Learning Outcomes in Online Gamification Platforms
    Wang, Wei-Tsong
    Sari, Mega Kartika
    [J]. JOURNAL OF EDUCATIONAL COMPUTING RESEARCH, 2024, 61 (08) : 32 - 59